
def a__       (			A_,	A_   ):






  '''simple docstring'''





  __magic_name__								=			len(A_   )
  __magic_name__								=			len(A_   )
  __magic_name__								=			[[False for _ in range(m + 1   )] for _ in range(n + 1   )]
  __magic_name__								=			True
  for i in range(A_   ):
    for j in range(m + 1   ):
      if dp[i][j]:
        if j < m and a[i].upper() == b[j]:
          __magic_name__								=			True
        if a[i].islower():
          __magic_name__								=			True
  return dp[n][m]


if __name__ == "__main__":
    import doctest

    doctest.testmod()



import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCAmelCase     :	int       			=  logging.get_logger(__name__)




class 			UpperCAmelCase_     (					_A	):


  '''simple docstring'''







  def __init__(					self     :					int     ,				*UpperCamelCase__     :					Optional[Any]     ,				**UpperCamelCase__     :					Optional[Any]       )     ->      None:







    """simple docstring"""






    warnings.warn(
        """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
        """ use BeitImageProcessor instead."""     ,				UpperCamelCase__     ,				)
    super().__init__(*UpperCamelCase__     ,				**UpperCamelCase__       )

